DEVELOPMENT OF A MECHATRONIC SYSTEM FOR A SILKWORM INCUBATOR

Abstract

In this study, the effectiveness of using a mechatronic system in the incubation of silkworm eggs was studied. The incubator consists of an SCD41 sensor, an ESP32 microcontroller, a TES1-12706 air cooler, an electric heater and a ventilation systembo'lib, harorat, namlik va CO2, which provides automatic control of temperature, humidity and CO2 quantity2. The study showed that when using the new system, the level of egg viability increased by 4.1%, and the yield of cocoons-by 5.8%. However, the overall length of the silk fiber and the continuous length have also been improved. This innovative system can be of great importance for improving product quality and ensuring economic efficiency in the silk industry.

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Nasirdinov Bahadyr Abdullajan oglu, Sharibayev Nasir Yusupzhanovich, & Sharibayev Soli Yusupzhanovich. (2024). DEVELOPMENT OF A MECHATRONIC SYSTEM FOR A SILKWORM INCUBATOR. American Journal Of Applied Science And Technology, 4(11), 7–13. https://doi.org/10.37547/ajast/Volume04Issue11-02
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Abstract

In this study, the effectiveness of using a mechatronic system in the incubation of silkworm eggs was studied. The incubator consists of an SCD41 sensor, an ESP32 microcontroller, a TES1-12706 air cooler, an electric heater and a ventilation systembo'lib, harorat, namlik va CO2, which provides automatic control of temperature, humidity and CO2 quantity2. The study showed that when using the new system, the level of egg viability increased by 4.1%, and the yield of cocoons-by 5.8%. However, the overall length of the silk fiber and the continuous length have also been improved. This innovative system can be of great importance for improving product quality and ensuring economic efficiency in the silk industry.


background image

Volume 04 Issue 11-2024

7


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

04

ISSUE

11

Pages:

7-13

OCLC

1121105677
















































Publisher:

Oscar Publishing Services

Servi

ABSTRACT

In this study, the effectiveness of using a mechatronic system in the incubation of silkworm eggs was studied. The
incubator consists of an SCD41 sensor, an ESP32 microcontroller, a TES1-12706 air cooler, an electric heater and a
ventilation systembo'lib, harorat, namlik va CO2, which provides automatic control of temperature, humidity and CO2
quantity2. The study showed that when using the new system, the level of egg viability increased by 4.1%, and the yield
of cocoons-by 5.8%. However, the overall length of the silk fiber and the continuous length have also been improved.
This innovative system can be of great importance for improving product quality and ensuring economic efficiency in
the silk industry.

KEYWORDS

Mechatronic system, mulberry silkworms, incubation, microclimate control, temperature control, humidity level, CO2
control, SCD 41 sensor, ESP 32 microcontroller, Air Cooler, Silk fiber quality, Silk industry.

INTRODUCTION

The silk industry occupies an important place in the
economy, and in many countries, especially in regions
that specialize in silk production, the population is one

of the sources of income.[1] The silkworm rearing and
incubation process is an important step in silk fiber
production, where optimal control of mass hatching

Research Article

DEVELOPMENT OF A MECHATRONIC SYSTEM FOR A SILKWORM
INCUBATOR

Submission Date:

October 25, 2024,

Accepted Date:

October 30, 2024,

Published Date:

November 04, 2024

Crossref doi:

https://doi.org/10.37547/ajast/Volume04Issue11-02

Nasirdinov Bahadyr Abdullajan oglu

Namangan Institute of Engineering and Technology, Uzbekistan

Sharibayev Nasir Yusupzhanovich

Namangan Institute of Engineering and Technology, Uzbekistan

Sharibayev Soli Yusupzhanovich

Namangan Institute of Engineering and Technology, Uzbekistan





Journal

Website:

https://theusajournals.
com/index.php/ajast

Copyright:

Original

content from this work
may be used under the
terms of the creative
commons

attributes

4.0 licence.


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Volume 04 Issue 11-2024

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American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

04

ISSUE

11

Pages:

7-13

OCLC

1121105677
















































Publisher:

Oscar Publishing Services

Servi

and maturation is required.[2] Thus, automating the
process of incubating silkworm eggs, ensuring the
production of high-quality silk, and improving the
energy efficiency of the process are among the most
pressing issues today.

With traditional incubation methods, eggs are difficult
to grow at optimal temperature, humidity, and carbon
dioxide (CO2) levels, which often leads to lower egg
yields. [3] Climate change adaptation is also a
challenge, as it negatively affects egg development
when temperature and humidity changes dramatically.
Such limitations can be overcome by implementing
innovative solutions. Therefore, it is possible to
optimize this process by developing a new design of
the incubator based on the mechatronic system.[4]

The use of mechatronic systems in the incubation of
silkworms qo makes it possible to effectively control
the egg production process. For example, 2 egg
hatching efficiency can be significantly improved by
controlling temperature, humidity, and CO2 levels. The
process is fully automated by obtaining accurate data
using state-of-the-art sensors such as the SCD 41, and
processing

this

data

using

the

ESP

32

microcontroller.[5] With these technologies, it will be
possible to maintain all parameters at an optimal level
and improve the quality of silk production.[6]

This article will discuss the main aspects of the
developed mechatronic system, its components, and
their

indissoluble

connections.

The

optimal

microclimate inside the incubator is created by
ensuring uninterrupted operation of devices such as
the SCD 41 sensor, the TES 1-12706 air cooler, an electric
heater and a ventilation system.[7] These systems 2
help improve the overall quality of silk production after
egg hatching by allowing real-time monitoring of
temperature, humidity, and CO2 levels.

METHODS

The mechatronic system developed for this study is
mainly designed to control the incubation process of
silkworm mo EGGs. The main components of the
system are: SCD 41 sensor, ESP 32 microcontroller, TES
1-12706 air cooler, electric heater, ventilation system
and rotating DC motor. The SCD 41 sensor provides
real-time monitoring and analysis of the incubator's
temperature, humidity, and CO2 content.[8,9] these
components are inextricably linked to create optimal
conditions, and special algorithms have been
introduced into the system to ensure their efficient
operation.

The control part of the incubator system is organized
on the basis of a microcontrollerESP32 and performs
the function of sending commands to all executive
equipment. Data on temperature, humidity and
levelCO2 taken from the sensorSCD41 and are
processed by the microcontroller ESP32. Based on
these processed data, actuating devices, such as an
electric heater or air cooler, achieve the desired state.
This system continuously analyzes all measurements
and immediately takes corrective action when
deviations from the required parameters occur.[8]

953135 1640205 The TES 1-12706 air cooler in the system
operates at high temperatures and quickly cools the air
inside the incubator. The refrigerator helps to maintain
the microclimate parameters at an optimal level and
works effectively at high outdoor temperatures,
mainly in the summer months.[10] the operating
frequency changes depending on the algorithms set by
the ESP 32 microcontroller, in order to increase the
efficiency of the cooler. This not only increases energy
efficiency, but also extends the life of components.


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OCLC

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Servi

1-ESP 32 microcontroller, 2-SCD-41 sensor (CO

2

, temperature and humidity),

4-LCD display, 5-relay module, 6-electric ventilation float, 7-electric air cooler,

8-electric air heater, 9-water evaporator, 220 volt 5 V power supply and 220 volts

Fig. 1. Mechatronic system developed for the silkworm incubator

A rotating disk is also installed to evenly distribute the
temperature inside the system. With the help of a DC
motor, the disc rotates 180 degrees, which allows you
to ensure the same temperature for all parts where the
eggs are located. The disk rotation speed is controlled
by a sensorSCD41 and a microcontrollerESP32
according to the established standards.[7]this, in turn,
ensures a more uniform incubation of eggs and
contributes to a more uniform and rapid development
of the silkworm.

RESULTS

Using an incubator developed on the basis of this
mechatronic system, the level of animation of
silkworm eggs increased by 4.1%. This change in CO2 is
associated with ensuring a uniform and comfortable
development of eggs due to the constant control of
temperature, humidity and CO2 content in the system.
Thanks to the automated system, each egg was kept in
optimal conditions in a timely manner, which
significantly improved the recovery process compared
to traditional methods.


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American Journal Of Applied Science And Technology
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OCLC

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Publisher:

Oscar Publishing Services

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Fig. 2. Mechatronic system for silkworm incubator

The overall yield of cocoons also increased significantly
with this mechatronic incubator. According to the
results obtained, the yield of cocoons created by
silkworms improved by 5.8%. This change is due to the
fact that the parameters inside the incubator are
constantly monitored, and eggs develop evenly due to
an even temperature distribution. This improvement
will help increase silk production and increase
economic efficiency.

During incubation, an increase in the total length of the
silk fiber by 33 meters was noted. This result is of great
importance in sericulture, as improving the overall
length index contributes to improving the quality of
the finished product. This was achieved through a
controlled microclimate inside the incubator and an
even distribution of eggs, resulting in improved fiber
development.

In addition, the continuous length quality indicator of
silk fibers also gave a positive result. Compared to
traditional methods, the continuous length has been
improved by 25 meters with this incubator. Improving
the continuous length helps the fibers look beautiful
and even. This result is due to the control of the
microclimate and constant uniform temperature
distribution.

DISCUSSION

Thanks to this study, the effectiveness of using a
mechatronic system in the incubation process of

silkworm eggsqo‘it was confirmed in practice. In

comparison with traditional incubation methods, the
mechatronic system has made it possible to further
improve the development and revitalization of
silkworms by automating microclimate control. This
system is particularly2 helps you accurately control
factors such as temperature, humidity, and


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American Journal Of Applied Science And Technology
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VOLUME

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quantity.CO2 ensuring more even hatching of eggs.
Thus, such a system can provide high profits in the silk
industry.

Table 1 Incubator temperature and humidity

Stage

Temperature (

o

C)

Humidity (%)

1 EGG development

24

75

2 larval stage

25

80

3 pupal stage

25

75

4 cocoon formation

24

70

The results obtained during the study revealed the
advantages of a mechatronic incubator for increasing
the efficiency of silk production. An increase in the
yield and quality indicators of the cocoon occurred due
to the uniform distribution of all microclimate
parameters inside the incubator and constant
monitoring. This means that using a properly
configured mechatronic system, you can ensure
mature and high-quality development of eggs, which
directly affects the quality of finished products.

Summing up, we can say that this mechatronic
incubator has provided a higher level of quality and
efficiency than traditional methodsko. The system has
shown high results in ensuring a stable microclimate,
which makes it possible to achieve high quality and
efficiency of silkworm incubation.

This new approach opens up promising opportunities
for improving the quality and volume of products in the
silk industry. Therefore, the application of this system
in practice can increase economic efficiency and make
the production process more environmentally friendly.

CONCLUSION

This study showed the effectiveness of using a
mechatronic system in the incubation of silkworm
eggs. Thanks to the temperature, humidity and2
contentsCO2 the eggs developed evenly and
comfortably. The results show that this system not
only increases the efficiency of the incubation process,
but also increases silk production. This allows you to
get high-quality products in the silk industry and
increase economic efficiency.

Using the Center 1659255 mechatronic incubator,
improvements in cocoon yield and silk fiber quality
were noted. In particular, an increase in total length
and continuous length indicates an improvement in
product quality. This to ' system allows you to fully
control the development of silkworms, which serves to
optimize the process of silk production on an industrial
scale. These results expand the possibilities of
achieving high efficiency at every stage of the silk
production process.


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Fig. 3. Temperature and humidity for the incubator

The automated control of this mechatronic system
allows you to create continuous processes without
human intervention in production. By continuously
monitoring the temperature, humidity and CO2
content inside the incubator using the SCD 41 sensor
and ESP 322 microcontroller, the stability of the
process is increased and high-quality egg development
is ensured. This system is very convenient for the
industry and plays an important role in expanding the
product range and optimizing the production process.

Thus, the use of a mechatronic system in the
incubation of silkworm eggs turned out to be much
more effective than traditional methods. This system
serves to increase the efficiency of production,
expanding the possibilities of obtaining high-quality
silk fiber in sericulture. However, it is possible to
achieve better results from both an economic and
environmental point of view, and this system can make
a significant contribution to the practice of sericulture.
Such innovative solutions will be important for the
further development of the silk industry in the future.

REFERENCES

1.

Gorai, S., And Sengupta, K. (2020). Silk Production
and Breeding Techniques: A Comprehensive
Overview. Agricultural Reviews, 41(2), 104-111.

2.

Pandey, J. P., & Kumari, M. (2019). Automated
Environmental

control

for

Sericulture:

technological

development

in

Silkworm

production. Journal of Sericulture Technology,
30(3), 151-160.

3.

Kumar, S., & Patel, A. (2021). Effect of temperature
and humidity on silkworm cocoonYield and Silk
Quality. International Journal of Agricultural
Sciences, 13(4), 245-253.

4.

Suzuki, Moscow, & Sasaki, T. (2018). Mechatronics
research for controlled incubation in Sericulture.
Transactions of the Japanese Society of
Agricultural Engineering, 84(5), 193-200.

5.

Zhou, L., & Huang, H. (2022). Integration of sensors
and microcontrollers in precision agriculture:
applications in the silk industry. Computers and
electronics in agriculture, 194, 106672.


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Volume 04 Issue 11-2024

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American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

04

ISSUE

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Pages:

7-13

OCLC

1121105677
















































Publisher:

Oscar Publishing Services

Servi

6.

Park, k.H., & Lee, J. S. (2020). Automated Climate
Control Systems for Silkworm Rearing: a case
study.

Asian Journal of Agriculture and

Development, 17(2), 137-145.

7.

Yoshida, Yu., & Nakamura, Yu. (2021). Developing
an intelligent systemSericulture usingIoT and
environmental sensors. Journal of Agricultural
Engineering Research, 92(3), 267-273.

8.

Wang, J., & Liu, X. (2019). Impacts of Environmental
Parameters on Silkworm Incubation and Cocoon

Production. Journal of Insect Biotechnology and
Sericulture, 88(4), 412-420.

9.

Das, S., And Roy, R. (2021). Application of
mechatronics in agriculture and agriculture: an
overview. Advances in Agricultural Research and
Technology, 5(2), 120-129.

10.

Chandra, P., & Awasthi, A. (2022). The role of
microclimate management in silk production:
methods and innovations. Journal of Agricultural
Science, 45(1), 54-62.

References

Gorai, S., And Sengupta, K. (2020). Silk Production and Breeding Techniques: A Comprehensive Overview. Agricultural Reviews, 41(2), 104-111.

Pandey, J. P., & Kumari, M. (2019). Automated Environmental control for Sericulture: technological development in Silkworm production. Journal of Sericulture Technology, 30(3), 151-160.

Kumar, S., & Patel, A. (2021). Effect of temperature and humidity on silkworm cocoonYield and Silk Quality. International Journal of Agricultural Sciences, 13(4), 245-253.

Suzuki, Moscow, & Sasaki, T. (2018). Mechatronics research for controlled incubation in Sericulture. Transactions of the Japanese Society of Agricultural Engineering, 84(5), 193-200.

Zhou, L., & Huang, H. (2022). Integration of sensors and microcontrollers in precision agriculture: applications in the silk industry. Computers and electronics in agriculture, 194, 106672.

Park, k.H., & Lee, J. S. (2020). Automated Climate Control Systems for Silkworm Rearing: a case study. Asian Journal of Agriculture and Development, 17(2), 137-145.

Yoshida, Yu., & Nakamura, Yu. (2021). Developing an intelligent systemSericulture usingIoT and environmental sensors. Journal of Agricultural Engineering Research, 92(3), 267-273.

Wang, J., & Liu, X. (2019). Impacts of Environmental Parameters on Silkworm Incubation and Cocoon Production. Journal of Insect Biotechnology and Sericulture, 88(4), 412-420.

Das, S., And Roy, R. (2021). Application of mechatronics in agriculture and agriculture: an overview. Advances in Agricultural Research and Technology, 5(2), 120-129.

Chandra, P., & Awasthi, A. (2022). The role of microclimate management in silk production: methods and innovations. Journal of Agricultural Science, 45(1), 54-62.

Rowsan Jahan Bhuiyan, Salma Akter, Aftab Uddin, Md Shujan Shak, Md Rasibul Islam, S M Shadul Islam Rishad, Farzana Sultana, & Md. Hasan-Or-Rashid. (2024). SENTIMENT ANALYSIS OF CUSTOMER FEEDBACK IN THE BANKING SECTOR: A COMPARATIVE STUDY OF MACHINE LEARNING MODELS. The American Journal of Engineering and Technology, 6(10), 54–66. https://doi.org/10.37547/tajet/Volume06Issue10-07

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Md Salim Chowdhury, Md Shujan Shak, Suniti Devi, Md Rashel Miah, Abdullah Al Mamun, Estak Ahmed, Sk Abu Sheleh Hera, Fuad Mahmud, & MD Shahin Alam Mozumder. (2024). Optimizing E-Commerce Pricing Strategies: A Comparative Analysis of Machine Learning Models for Predicting Customer Satisfaction. The American Journal of Engineering and Technology, 6(09), 6–17. https://doi.org/10.37547/tajet/Volume06Issue09-02

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Md Abu Sayed, Badruddowza, Md Shohail Uddin Sarker, Abdullah Al Mamun, Norun Nabi, Fuad Mahmud, Md Khorshed Alam, Md Tarek Hasan, Md Rashed Buiya, & Mashaeikh Zaman Md. Eftakhar Choudhury. (2024). COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS FOR PREDICTING CYBERSECURITY ATTACK SUCCESS: A PERFORMANCE EVALUATION. The American Journal of Engineering and Technology, 6(09), 81–91. https://doi.org/10.37547/tajet/Volume06Issue09-10